The first CIVC 2023 China Industrial Vision Conference will be grandly unveiled at the 2023 Suzhou Global Intelligence Expo from June 26 to 27, 2023! The conference forum [Power Vision Technology Facing the "Double Carbon" Goal] will be held on the afternoon of June 26. Mainly from the bottleneck of the implementation of power vision technology, how to build a credible, reliable and explainable power vision system, and conduct in-depth discussions.
The first CIVC 2023 China Industrial Vision Conference includes 3 conference forums on the afternoon of June 26, interpreting relevant hot spots from three perspectives: power vision technology, industrial vision technology in traditional industries, 3D vision and digital twins in intelligent manufacturing. Topics and technical difficulties, displaying cutting-edge technology and research results of the industry. Today I will bring you a detailed introduction to the conference forum [Electric Vision Technology for "Double Carbon" Goals].
In response to the increasingly severe problem of climate change, China has proposed the strategic goals of carbon peaking and carbon neutrality, drawing a grand blueprint for national climate governance and energy low-carbon transformation. The construction of a new power system under the "dual carbon" goal requires safer and more efficient operation and maintenance of power generation, power transmission, power transformation, power distribution and power consumption.
Power vision technology is the application technology of computer vision in power system. It is an important part of power artificial intelligence and an important supporting technology for intelligent inspection of power equipment. At present, through inspection methods such as drones and robots, the number of inspection images and videos obtained is increasing. More and more researchers are studying power intelligent inspection based on computer vision technology, and have made certain research progress.
Although a lot of progress has been made in the various links of "generation, transmission, transformation and distribution", there are still many practical problems that have not been resolved. Therefore, an electric power vision technology forum oriented to the goal of "dual carbon" is organized, and relevant domestic experts are invited to conduct in-depth discussions.
CIVC 2023 The First China Industrial Vision Conference
June 26-27, 2023
Suzhou International Expo Center
Conference Forum
Power vision technology for the goal of "double carbon"
Forum Chair
Professor Zhao Zhenbing
CCF CV executive member, professor and doctoral supervisor of North China Electric Power University, deputy director of the Engineering Research Center of the Ministry of Education for Intelligent Computing of Complex Energy Systems.
Editorial board member of IEEE TIM, outstanding member of CCF, director of IEEE PES artificial intelligence subcommittee, member of CES artificial intelligence and electrical application special committee, chairman of CCF YOCSEF Baoding 2021-2022, member of computer vision special committee, member of standard working committee, ICPDS 2021 Program Committee Chair.
He has been engaged in the research of electric power artificial intelligence technology for a long time. Won 2 first prizes of provincial scientific and technological progress; published 2 monographs as the first author, and published more than 50 papers in SCI or EI in authoritative journals or conferences at home and abroad such as IEEE TPWRD, TDEI, TIM; presided over 10 longitudinal projects project; presided over 10 power enterprise cooperation projects; obtained 16 national patent authorizations as the first completer.
Professor Lu Bin
Professor and doctoral supervisor of North China Electric Power University, director of the Computer Department of North China Electric Power University, and director of the Engineering Research Center of the Ministry of Education for Intelligent Computing of Complex Energy Systems.
CCF Senior Member, Director of Hebei Provincial Key Laboratory of Energy and Power Knowledge Computing, Director of Baoding Key Laboratory of Knowledge Computing and Data Security, Vice Chairman of Hebei Computer Education Research Association, Chairman of China Computer Federation Youth Elite Forum 2020/2021 Baoding Sub-forum , Leader of the Smart Power Working Group of the Computer Application Committee of the China Computer Federation.
He has been engaged in the research work of intelligent computing and computer vision, integrated energy system and big data analysis for a long time. Presided over or participated in 6 national, provincial and ministerial science and technology projects, won 1 second prize of National Commercial Science and Technology Progress Award as the first completer, and won 3 Hebei Provincial Science and Technology Progress Awards as the first completion person in the school, and 4 municipal Science and Technology Progress Awards Published 3 monographs, obtained 8 patents, published 68 SCI and EI papers, and presided over 18 horizontal projects.
Forum reports and guests
Forum report 1: "Where are the bottlenecks in the implementation of power vision technology?"
At present, power vision technology has been widely used in various power scenarios for power transmission, transformation and distribution. Although high accuracy has been obtained for some scenarios, there are still more or less problems in almost all visual processing results, such as the need to Manual verification, such as being able to identify "whether there is" but not "to what extent", can not meet the actual needs of production. Therefore, it is said that the power vision technology has not yet been fully applied. Aiming at the implementation problem of power vision technology, the bottleneck is deeply excavated from all aspects of "transmission, transformation and distribution".
Professor Wang Bo
Professor of Wuhan University, Vice President of Smart Grid Research Institute of Wuhan University.
Senior member of IEEE, IET Fellow, editorial board member of SCI journal PCMP, editorial board member of Smart Power, deputy secretary-general of IEEE PES China Satellite Technology Committee.
Mainly engaged in research in the fields of digitalization of power distribution and electricity safety.
Presided over 3 projects of the National Natural Science Foundation of China, 2 projects of the National Key Research and Development Program, and 1 project of the National Science and Technology Support Program.
Published more than 120 papers included in SCI/EI, and won the top 100 most influential papers in China in 2021.
The research results have won the Geneva Invention Gold Award, Henan Province, Hubei Province and other provincial and ministerial scientific and technological progress awards for 6 times.
Forum report 2: "How to build a credible, reliable and explainable power vision system"
Aiming at the problems and difficulties in the power industry business, demand, cost, compatibility, etc., how to tap the functional requirements of the power vision system, build a vision system architecture, defect database, detection algorithm and system that are more in line with the needs of the power industry, and break through the power vision The application bottleneck of the system, and enhancing the credibility, reliability, and interpretability of the vision system are of great significance to improving the safe and reliable operation of the new power system.
Professor Qi Donglian
Qiushi Distinguished Professor of Zhejiang University, Doctoral Supervisor, New Century Outstanding Talent of the Ministry of Education, Outstanding Youth of Zhejiang Province, 151 Talents.
Served as a member of the national key research and development plan "renewable energy and hydrogen energy technology" key special general expert group member, executive director of IEEE PES China Smart Grid and New Technology Integrated Application Subcommittee.
He has long been engaged in research work in the direction of new power system intelligent perception and cluster control.
Undertook more than 10 projects/subjects such as the National Natural Science Foundation of China (development of major scientific research instruments, key points), national key research and development plans, and 863 plans.
Published 4 books, published more than 150 papers included in SCI/EI, and authorized 21 invention patents.
Won 8 provincial and ministerial awards such as the first prize and second prize of Zhejiang Science and Technology Progress Award.
Panel topics and guests
Topic 1: Where is the bottleneck of power vision technology not fully implemented?
At present, in my country's power industry, a large number of research and applications of power vision technology have been carried out. For example, drones are used for daily inspections of overhead transmission lines, and robots are used for inspections of substation equipment. What is particularly prominent is that almost all power grid operation companies are currently equipped with drones, and the State Grid Corporation of China alone has more than 10,000 drones. Therefore, power vision has become a key core technology in power intelligent operation and maintenance.
However, the current power vision technology has not yet been fully applied, and the convincing degree of its processing results has not yet met the actual requirements. For example, the defect detection ability for small targets and small samples is insufficient, and the defect detection ability for irregular and inconspicuous defects is insufficient. Therefore, after the UAV data collection and image processing, it is necessary for the inspection personnel to perform secondary processing In order to avoid missed inspections, it is impossible to achieve a real replacement of manual and complete landing applications.
Therefore, we ask such a question: where is the bottleneck of power vision technology not fully implemented? How to solve?
Topic 2: How to build a credible, reliable and explainable power vision system?
In June 2022, the China Association for Science and Technology released the 2022 major scientific issues, engineering and technical problems, and industrial technical issues. plan?". As an industrial application of artificial intelligence technology, the power vision system still has the problem of "credible, reliable and interpretable". Therefore, it is urgent to build a credible, reliable and explainable power vision system.
For example, in actual production, inspectors also need to perform secondary processing on the pictures processed by the visual algorithm to avoid missing inspections. In this way, work will be repeated, the workload will be heavy, and the expected goal will not be achieved. This is also a manifestation of not being credible or reliable enough. On the other hand, for the identification of defects, the manual labeling of defect boxes is still used, and then the deep learning algorithm is executed. The physical meaning or correlation of defect features cannot be given. Therefore, the entire algorithm model is still uninterpretable. At the same time, for new defect forms, the visual system will be powerless.
Therefore, we ask the question: how to build a trustworthy, reliable and interpretable power vision system?
Researcher Xu Feng
PhD, researcher. Executive Deputy Director of the Artificial Intelligence Development Research Center of the China Institute of Science and Technology Information of the Ministry of Science and Technology, and concurrently the Deputy Director of the New Generation Artificial Intelligence Development Research Center of the Ministry of Science and Technology.
He has long been engaged in the research of science and technology policy and science and technology strategy, and the research of artificial intelligence development strategy. He has participated in the national "12th Five-Year Plan" and "13th Five-Year Plan" scientific and technological innovation development plan, the "13th Five-Year Plan" major science and technology development plan, and the national new generation of artificial intelligence development. Research and compilation of important policy documents such as planning.
Dr. Wu Chunpeng
Chief Engineer of Artificial Intelligence of Computing Institute of State Grid Smart Grid Research Institute, member of China Computer Federation Artificial Intelligence and Pattern Recognition Special Committee, reviewer of 5 top international journals including IEEE TNNLS.
Research directions include: machine learning, computer vision, pattern recognition and application of artificial intelligence in power systems.
Undertook a number of scientific and technological projects of the State Grid Corporation of China, published more than 40 academic papers, cited more than 4,500 times, won 4 best papers in international conferences in the field of artificial intelligence, and ranked first in the world in the IEEE ICDAR handwritten Chinese character recognition competition.
Professor Zhao Wenqing
Professor of North China Electric Power University, director of Baoding Key Laboratory of Knowledge Computing and Data Security.
Member of China Computer Federation, member of Imaging Detection and Perception Professional Committee of China Image and Graphics Society, member of Machine Vision Special Committee, member of Artificial Intelligence and Electrical Application Professional Committee of China Electrotechnical Society, executive director of Hebei Computer Society.
The current research directions are smart grid and big data, power computer vision, and image processing.
Published 2 monographs, published more than 20 papers included in SCI or EI in authoritative journals or conferences at home and abroad such as IEEE TIM; presided over 2 vertical projects; presided over more than 10 power enterprise cooperation projects.
Relevant achievements won the second prize of Hebei Science and Technology Progress Award and the third prize of Hebei Science and Technology Progress Award.
Forum arrangement
June 26 14:00-15:00
14:00-14:15 Where is the bottleneck of the implementation of power vision technology Wang Bo
14:15-14:30 How to build a credible, reliable and explainable power vision system Qi Donglian
14:30-15:00 Panel
Topic 1: No power vision technology Where is the bottleneck of complete landing?
Topic 2: How to build a credible, reliable and explainable power vision system?
Identify the QR code below and sign up for the conference!
Organizer
China Computer Federation
Co-organizer
China Image and Graphics Society
Organizer
CCF Computer Vision Professional Committee
Co-organizer
SISPARK (Suzhou International Science and Technology Park)
About CIVC 2023 The First China Industrial Vision Conference
In order to promote the deep integration of technology and industry and promote the development of industrial vision technology, China Computer Federation (CCF) and China Society of Image and Graphics (CSIG) will jointly hold the Suzhou Industrial Park Management Committee on June 26-27, 2023. CIVC 2023 The first China Industrial Vision Conference. The chairman of the conference was Gao Wen, former chairman of CCF, director of Pengcheng Laboratory, and academician of the Chinese Academy of Engineering. Wang Yaonan, academician of the Chinese Academy of Engineering, Yu Jingyi, deputy dean of ShanghaiTech University and professor and executive dean of the School of Information Science and Technology, Baidu The chief computer vision scientist Wang Jingdong and other well-known domestic institutions, top scholars, and industry leaders from leading companies participated in the event, aiming to lead the industry trend, gain insight into the new development trend of the machine vision market in the future, and explore future machine vision and intelligent manufacturing with a developmental perspective. To meet the new needs of the conference, the Global Artificial Intelligence Product Application Expo will be held at the same time as the conference. In the form of academic-forum-enterprise exhibition integration, research will promote production, strengthen in-depth exchanges and cooperation between research and production, and create a "new vision" for the industry in an all-round way!
Sponsor recruitment is in full swing
. For more cooperation forms, please consult
the contact person: Ms. Lu
Email: [email protected]
Tel: 0512-65900856-39
Click "Read the original text" to learn more about the conference.